AIMC Topic: Mathematics

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Mathematical Geometry and Groups for Low-Symmetry Metal Complex Systems.

Molecules (Basel, Switzerland) Jun 2, 2023
Since chemistry, materials science, and crystallography deal with three-dimensional structures, they use mathematics such as geometry and symmetry. In recent years, the application of topology and mathematics to material design has yielded remarkable...
Mathematics Crystallography Artificial Intelligence
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Artificial neural network modelling of the neural population code underlying mathematical operations.

NeuroImage Feb 26, 2023
Mathematical operations have long been regarded as a sparse, symbolic process in neuroimaging studies. In contrast, advances in artificial neural networks (ANN) have enabled extracting distributed representations of mathematical operations. Recent ne...
Brain Mapping Mathematics Humans Magnetic Resonance Imaging Brain Neural Networks, Computer Parietal Lobe
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Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2023
The encounter of large amounts of biological sequence data generated during the last decades and the algorithmic and hardware improvements have offered the possibility to apply machine learning techniques in bioinformatics. While the machine learning...
Machine Learning Sequence Analysis Mathematics Sequence Alignment Algorithms
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Improving the Reliability of Scale-Free Image Morphometrics in Applications with Minimally Restrained Livestock Using Projective Geometry and Unsupervised Machine Learning.

Sensors (Basel, Switzerland) Oct 31, 2022
Advances in neural networks have garnered growing interest in applications of machine vision in livestock management, but simpler landmark-based approaches suitable for small, early stage exploratory studies still represent a critical stepping stone ...
Animals Livestock Reproducibility of Results Mathematics Unsupervised Machine Learning Cattle Female Neural Networks, Computer
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Effectiveness of Artificial Intelligence (AI) in Improving Pupils' Deep Learning in Primary School Mathematics Teaching in Fujian Province.

Computational intelligence and neuroscience Sep 23, 2022
Several primary school students in Fujian Province have perceived studying mathematics as challenging. To deal with this issue, computer technology advancements, specifically artificial intelligence (AI), present an opportunity to evaluate individual...
Reproducibility of Results Deep Learning Artificial Intelligence Schools Mathematics
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A Classification Method for Electronic Components Based on Siamese Network.

Sensors (Basel, Switzerland) Aug 28, 2022
In the field of electronics manufacturing, electronic component classification facilitates the management and recycling of the functional and valuable electronic components in electronic waste. Current electronic component classification methods are ...
Mathematics Cluster Analysis Electronics Algorithms Neural Networks, Computer
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A Method for Evaluating the Quality of Mathematics Education Based on Artificial Neural Network.

Computational and mathematical methods in medicine Aug 12, 2022
Teaching quality evaluation (TQE) is an important link in the process of school teaching management. Evaluation indicators and teaching quality have a complicated and nonlinear connection that is influenced by several variables. Some of these drawbac...
Humans Learning Mathematics Neural Networks, Computer
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A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level.

Proceedings of the National Academy of Sciences of the United States of America Aug 2, 2022
We demonstrate that a neural network pretrained on text and fine-tuned on code solves mathematics course problems, explains solutions, and generates questions at a human level. We automatically synthesize programs using few-shot learning and OpenAI's...
Problem Solving Mathematics Massachusetts Neural Networks, Computer Humans Universities
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Optimization Model of Mathematics Instructional Mode Based on Deep Learning Algorithm.

Computational intelligence and neuroscience Jul 4, 2022
This paper proposes corresponding teaching methods and instructional modes based on predecessors' research on mathematics instructional mode and the current state of mathematics teaching. In addition, this paper constructs a teaching evaluation model...
Mathematics Teaching Deep Learning
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Study on OBE Teaching Concept in the Context of Deep Learning for the Construction of University Mathematics Microcourses.

Computational intelligence and neuroscience Jun 30, 2022
Outcome-Based Education (OBE) is a goal-based educational system in which each part of education is around outcomes. By the end of the course, every student should have achieved the goal. Outcome-Based Education (OBE) involves various teaching method...
Humans Students Mathematics Deep Learning Artificial Intelligence Universities Teaching
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